Workshop-related resources

Books

While there are a large number of resources available for R, the following form a core start point:

R for Data Science is available online and can also be purchased from various sellers. It is a solid introduction to using the tidyverse set of packages and working with R in general.
ggplot2: Elegant Graphics for Data Analysis is an excellent in-depth look at the ggplot2 package and its capabilities.
Linear Models with R discusses linear modeling with a more practical viewpoint and using a lot of R code in the process.
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models discusses more advanced modeling, including topics like Logistic Regression, Random Effects and Repeated Measures.
An Introduction to Statistical Learning: with Applications in R is a great broad introduction to various topics related to statistical learning.
Online book on RMarkdown

Various RStudio-provided cheatsheets. Most other links are from that site.
Data Import with the readr package and its friends.
Graphing with ggplot2.
Data Transformations with dplyr. There is also an older version that is slightly different.
The stringr package for string manipulations.
The purrr package for working with lists of items in a consistent way.
R Markdown and another reference.
RStudio IDE.
Mosaic

compression.xlsx Data on the effects of various compression techniques, collected by Shelby Williamson for her senior thesis project at Hanover College, under the supervision of Molly Winke.
targeting.sav Data from the “Tuttle Shooting Decisions Study”, provided by Kati Tuttle.